2019 Advances in Science and Engineering Technology International Conferences (ASET) 2019
DOI: 10.1109/icaset.2019.8714509
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Evaluation and Simulation of Colon Cancer Treatment Techniques with Fuzzy PROMETHEE

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Cited by 11 publications
(2 citation statements)
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“…Two pieces of data are necessary for the PROMETHEE technique to work effectively: preference functions and the importance weight of the criteria [34,35]. In the PROMETHEE approach, six distinct preference functions are available for the determination of the preference of alternatives compared to others for each criteria: normal, U-shaped, V-shaped, level, linear, and Gaussian preference functions [36,37].…”
Section: Application Of Fuzzy Prometheementioning
confidence: 99%
“…Two pieces of data are necessary for the PROMETHEE technique to work effectively: preference functions and the importance weight of the criteria [34,35]. In the PROMETHEE approach, six distinct preference functions are available for the determination of the preference of alternatives compared to others for each criteria: normal, U-shaped, V-shaped, level, linear, and Gaussian preference functions [36,37].…”
Section: Application Of Fuzzy Prometheementioning
confidence: 99%
“…The PROMETHEE technique was developed by Brans and Vincle in 1985 [32]. Since then, it has been used successfully as an MCDM technique in many fields [33], and recently, it has been applied to medicine, healthcare [34][35][36][37][38][39][40][41][42][43] etc. VIKOR is another commonly-used MCDM technique that determines the order of alternatives under conflicting criteria based on the closeness to the ideal solution [44].…”
Section: Introductionmentioning
confidence: 99%